Data Science Engineer (Experience4-6 yrs)

Role Overview

We are looking for a Data / ML Engineer with 4–6 years of experience to build and maintain robust data pipelines and machine learning solutions. You will be responsible for cleaning, transforming, and preparing data for analytics and ML models while ensuring data quality, scalability, and reliability.

Responsibilities

• Build and maintain data pipelines and ML solutions
• Clean, transform, and prepare data for analytics and ML models
• Develop, evaluate, and optimize machine learning models
• Work with large datasets and generate meaningful insights
• Ensure data quality, scalability, and reliability
• Collaborate with Data Scientists, Engineers, and business teams

Requirements

• Strong experience with Python, SQL & Machine Learning
• Hands-on experience in Data Processing, ETL/ELT & Data Pipelines
• Experience with ML Model Development, Feature Engineering & Model Validation
• Knowledge of Pandas, NumPy & Scikit-learn
• Experience with PySpark, Databricks or Cloud Platforms is a plus
• Knowledge of MLOps, ML Deployment & CI/CD is an advantage

Skills

• Python
• SQL
• Scikit-learn
• PySpark
• MLOps